The Black-White Achievement Gap Amongst Struggling Readers: A Case Study of Early Intervention Outcomes in Massachusetts

A number of analyses of large data sets have suggested that the reading achievement gap between African American and White U.S. is negligible or small at school entry, but widens substantially during the school years because African American students show slower rates of growth in elementary and secondary school. Identifying when and why gaps occur, therefore, is a an important research endeavor. In addition, being able to predict which African American children are most likely to fall behind can contribute to efforts to close the achievement gap. This paper analyzes first grade and third grade data on African American and White children in Massachusetts who all were identified in first grade as struggling readers and enrolled in Reading Recovery—an individualized intervention. All the children were low-income and attending urban schools. Using Observation Survey data from first grade, and MCAS Reading data from 3rd grade, we found that the African American and White students made equal average progress while in first grade, but by the end of third grade showed a large gap in MCAS proficiency rates. We discuss the results in terms of school quality, reading development, dialect issues, testing formats, and the need to provide long-term support to vulnerable learners.

The International Financial Reporting Standards and Their Implementation into the US Accounting System

This paper examines the differences between the International Financial Reporting Standards (IFRS) and Generally Accepted Accounting Principles (GAAP). The areas closely examined are the differences inrevenue recognition and reporting of intangibles. By investigating the differences in the two sets of standards I put into context the changes that would be necessary for domestic companies adopting the IFRS. The differences between these two standards are important because the implementation of IFRS into the U.S. is a current issue for domestic companies. It is important to note how the new standards will affect different companies in different ways. Depending on the size and industry, some companies will have a harder time transitioning to the new standards. However, once these companies make the transition to IFRS they will have better recognition and reporting of revenues and intangibles.

Minimum Quality Standards in Baseball and the Paradoxical Disappearance of the .400 Hitter

This paper argues (following Gould, 2003) that the disappearance of the .400 hitter in major league baseball is due, not to a decrease in ability at the top end of the talent distribution, but to better methods of screening out players at the low end of the distribution. The argument is related to the economic literature on minimum quality standards in markets with imperfect information.

Measuring Middle School Achievement Growth With Student Growth Percentile Methodology

This study examined reading and mathematics achievement growth for middle school students over three years using statewide test scores using student growth percentile methodology (Betebenner, 2008). This newly-emerging growth methodology provides a basis for examining growth normatively (“what is”) in order to provide a foundation for policies about adequate growth (“what should be”) and excellent growth (“what could be”). Growth is compared among student subgroups and different middle schools. A particular focus of the study is identifying typical growth trajectories of low-achieving 6th graders through the middle school years.

A Confirmatory Factor Analytic Study Examining the Dimensionality of Educational Achievement Tests

It is important to check the fundamental assumption of most popular Item Response Theory models, unidimensionality. However, it is hard for educational and psychological tests to be strictly unidimensional. The tests studied in this paper are from a standardized high-stake testing program. They feature potential multidimensionality by presenting various item types and item sets. Confirmatory factor analyses with one-factor and bifactor models, and based on both linear structural equation modeling approach and nonlinear IRT approach were conducted. The competing models were compared and the implications of the bifactor model for checking essential unidimensionality were discussed.

Debate over Fair Value Accounting: Should we allow Politics to take an active role in setting accounting standards or should we trust that the SEC knows best?

In light of the recent economic downfall, there has been significant media coverage on the topic of fair value accounting. There are many critics of the accounting rule, who place blame on it for the destruction of billions of dollars in capital between financial institutions. Other commentators, however, see the rule as necessary and applaud its ability to bring the turmoil in the economy into the spotlight promptly so that it could be addressed effectively. This paper will begin by conducting a study of fair-value accounting from its inception in previous standards and then follow it through to Statement No. 157. I will then discuss the SEC’s most recent study of FAS157 and their decision as a result of the study.

Revising the National Ambient Air Quality Standards: The integration of science and policy

Under the Clean Air Act, Congress granted discretionary decision making authority to the Administrator of the Environmental Protection Agency (EPA). This discretionary authority involves setting standards to protect the public's health with an "adequate margin of safety" based on current scientific knowledge. The Administrator of the EPA is usually not a scientist, and for the National Ambient Air Quality Standard (NAAQS) for particulate matter (PM), the Administrator faced the task of revising a standard when several scientific factors were ambiguous. These factors included: (1) no identifiable threshold below which health effects are not manifested, (2) no biological basis to explain the reported associations between particulate matter and adverse health effects, and (3) no consensus among the members of the Clean Air Scientific Advisory Committee (CASAC) as to what an appropriate PM indicator, averaging period, or value would be for the revised standard. ^ This project recommends and demonstrates a tool, integrated assessment (IA), to aid the Administrator in making a public health policy decision in the face of ambiguous scientific factors. IA is an interdisciplinary approach to decision making that has been used to deal with complex issues involving many uncertainties, particularly climate change analyses. Two IA approaches are presented; a rough set analysis by which the expertise of CASAC members can be better utilized, and a flag model for incorporating the views of stakeholders into the standard setting process. ^ The rough set analysis can describe minimal and maximal conditions about the current science pertaining to PM and health effects. Similarly, a flag model can evaluate agreement or lack of agreement by various stakeholder groups to the proposed standard in the PM review process. ^ The use of these IA tools will enable the Administrator to (1) complete the NAAQS review in a manner that is in closer compliance with the Clean Air Act, (2) expand the input from CASAC, (3) take into consideration the views of the stakeholders, and (4) retain discretionary decision making authority. ^

Cultural competence in an HIV dedicated dental clinic: Application of the National Standards for Culturally and Linguistically Appropriate Services in Health Care (CLAS)

This dissertation investigated perspectives on cultural competence among African-American women patients, staff, and the administrator of a dental clinic serving people living with HIV/AIDS; and evaluated the role of the National Standards for Culturally and Linguistically Appropriate Services in Health Care (CLAS) in advancing the provision of culturally competent care in the clinic. ^ The study was qualitative with data collection via focus groups and individual interviews with a sample of African-American women patients, and individual interviews with a sample of staff and the clinic administrator. Transcripts were coded and themes identified using the software program ATLAS.ti. A cultural audit template was developed and applied to evaluate cultural competency. ^ Among attitudes and behaviors that contributed to the provision of culturally competent care at the clinic were respect and empathic communication. Formal cultural competency was not featured strongly in the methods by which the staff learned to work with diverse populations. Instead cultural competence among the staff was based on thoughtful hiring practices, natural aptitude and a climate that encouraged learning through informal sharing of experiences. The staff and administrator felt that an African-American dentist would be an asset in improving culturally competent care at the clinic. Previous research and national policy also promote the provider-patient racial/ethnic concordance to improve care. In this study, however, the patients were happy with the care provided regardless of the race/ethnicity of the staff, probably reflecting the well developed cultural competence skills of clinic staff overall. ^ The clinic administrator was unaware of the CLAS standards although the clinic was implicitly operated under their mandates. This occurred because the clinic is supported by federal funding and the CLAS standards were incorporated into the requirements. Incorporation into and monitoring of the CLAS standards in federally funded programs therefore appears to be an effective means for ensuring that they are implemented. ^ This study illustrates that cultural competence, though not universally understood, can be systematically investigated to identify what constitutes appropriate care and the factors that support or inhibit it. Among important elements of culturally competent care are respect and empathic communication. ^

An innovative approach to impacting student academic achievement and attitudes: Pilot study of the HEADS UP Virtual Molecular Biology Lab

Objective. To evaluate the HEADS UP Virtual Molecular Biology Lab, a computer-based simulated laboratory designed to teach advanced high school biology students how to create a mouse model. ^ Design. A randomized clinical control design of forty-four students from two science magnet high schools in Mercedes, Texas was utilized to assess knowledge and skills of molecular laboratory procedures, attitudes towards science and computers as a learning tool, and usability of the program. ^ Measurements. Data was collected using five paper-and-pencil formatted questionnaires and an internal "lab notebook." ^ Results. The Virtual Lab was found to significantly increase student knowledge over time (p<0.005) and with each use (p<0.001) as well as positively increase attitudes towards computers (p<0.001) and skills (p<0.005). No significant differences were seen in science attitude scores.^ Conclusion. These results provide evidence that the HEADS UP Virtual Molecular Biology Lab is a potentially effective educational tool for high school molecular biology education.^

Physician's adherence to CDC standards for physical activity counseling of older women in a cardiology practice in Texas---An exploratory study

Physical activity is an important health-promoting behavior to prevent and control chronic disease. Interventions to increase physical activity are vitally needed. Women are not meeting the recommended goals for physical activity - a behavior that has been shown to effectively reduce the incidence of chronic disease and the medical costs associated with treating it. Among many factors predicting physical activity and the different forms of interventions that have been applied, physician counseling is one potentially cost-effective approach that may produce at least modest effects on women's behavior. The Centers for Disease Control and Prevention has published standards for physician counseling of patients regarding physical activity. This study used a short questionnaire to assess the degree to which a group practice of cardiology physicians in Texas queried and discussed physical activity recommendations to older women that they treat and whether they are meeting the physical activity counseling goals of the Centers for Disease Control and Prevention. The majority of this group of physicians counseled patients without benefit of exploring patient behavior. Although these physicians "agreed" that physical activity delayed or prevented disease, the outcome suggests that low self-efficacy hampered efforts to counsel older women on this. Physicians' perceptions that counseling may be ineffective could explain the lower rate of physical activity counseling that does not meet the goals of the Centers for Disease Control and Prevention. ^

A multiplicative model for standardizing vital rates without using external standards

Standardization is a common method for adjusting confounding factors when comparing two or more exposure category to assess excess risk. Arbitrary choice of standard population in standardization introduces selection bias due to healthy worker effect. Small sample in specific groups also poses problems in estimating relative risk and the statistical significance is problematic. As an alternative, statistical models were proposed to overcome such limitations and find adjusted rates. In this dissertation, a multiplicative model is considered to address the issues related to standardized index namely: Standardized Mortality Ratio (SMR) and Comparative Mortality Factor (CMF). The model provides an alternative to conventional standardized technique. Maximum likelihood estimates of parameters of the model are used to construct an index similar to the SMR for estimating relative risk of exposure groups under comparison. Parametric Bootstrap resampling method is used to evaluate the goodness of fit of the model, behavior of estimated parameters and variability in relative risk on generated sample. The model provides an alternative to both direct and indirect standardization method. ^

A feasibility study for assessing building occupants' indoor air quality expectations compared to nationally recognized standards

Indoor Air Quality (IAQ) can have significant implications for health, productivity, job performance, and operating cost. Professional experience in the field of indoor air quality suggests that high expectations (better than nationally established standards) (American Society of Heating, Refrigerating, and Air-conditioning Engineers (ASHRAE)) of workplace indoor air quality lead to increase air quality complaints. To determine whether there is a positive association between expectations and indoor air quality complaints, a one-time descriptive and analytical cross-sectional pilot study was conducted. Area Safety Liaisons (n = 330) at University of Texas Health Science Center – Houston were asked to answer a questionnaire regarding their expectations of four workplace indoor air quality indicators i.e., (temperature, relative humidity, carbon dioxide, and carbon monoxide) and if they experienced and reported indoor air quality problems. A chi-square test for independence was used to evaluate associations among the variables of interest. The response rate was 54% (n = 177). Results did not show significant associations between expectation and indoor air quality. However, a greater proportion of Area Safety Liaisons who expected indoor air quality indicators to be better than the established standard experienced greater indoor air quality problems. Similarly, a slightly higher proportion of Area Liaisons who expected indoor air quality indicators to be better than the standard reported greater indoor air quality complaints. ^ The findings indicated that a greater proportion of Area Safety Liaisons with high expectations (conditions that are beyond what is considered normal and acceptable by ASHRAE) experienced greater indoor air quality discomfort. This result suggests a positive association between high expectations and experienced and reported indoor air quality complaints. Future studies may be able to address whether the frequency of complaints and resulting investigations can be reduced through information and education about what are acceptable conditions.^

The assumptions and effects of conservative procedures in low -dose risk assessment for setting safety standards

Conservative procedures in low-dose risk assessment are used to set safety standards for known or suspected carcinogens. However, the assumptions upon which the methods are based and the effects of these methods are not well understood.^ To minimize the number of false-negatives and to reduce the cost of bioassays, animals are given very high doses of potential carcinogens. Results must then be extrapolated to much smaller doses to set safety standards for risks such as one per million. There are a number of competing methods that add a conservative safety factor into these calculations.^ A method of quantifying the conservatism of these methods was described and tested on eight procedures used in setting low-dose safety standards. The results using these procedures were compared by computer simulation and by the use of data from a large scale animal study.^ The method consisted of determining a "true safe dose" (tsd) according to an assumed underlying model. If one assumed that Y = the probability of cancer = P(d), a known mathematical function of the dose, then by setting Y to some predetermined acceptable risk, one can solve for d, the model's "true safe dose".^ Simulations were generated, assuming a binomial distribution, for an artificial bioassay. The eight procedures were then used to determine a "virtual safe dose" (vsd) that estimates the tsd, assuming a risk of one per million. A ratio R = ((tsd-vsd)/vsd) was calculated for each "experiment" (simulation). The mean R of 500 simulations and the probability R $<$ 0 was used to measure the over and under conservatism of each procedure.^ The eight procedures included Weil's method, Hoel's method, the Mantel-Byran method, the improved Mantel-Byran, Gross's method, fitting a one-hit model, Crump's procedure, and applying Rai and Van Ryzin's method to a Weibull model.^ None of the procedures performed uniformly well for all types of dose-response curves. When the data were linear, the one-hit model, Hoel's method, or the Gross-Mantel method worked reasonably well. However, when the data were non-linear, these same methods were overly conservative. Crump's procedure and the Weibull model performed better in these situations. ^

The association between academic achievement and health status among eighth -grade Hispanic students in Houston

This cross-sectional study examines the association between health and academic achievement among Hispanic eighth-grade students in the Houston Independent School District. As part of the district's 3 year Safe Schools/Healthy Students Initiative to enhance comprehensive educational programs, a brief anonymous questionnaire was administered in the classroom to 359 students in two schools during a one-month period in the early part of the 2001 school year. ^ The primary study questions are: Among this sample of Hispanic adolescents, is there a significant association between academic achievement and health status? and in this same population, is there a significant association between health risk behavior and health status? The specific aims of this research are: (1) to describe the association between academic achievement and health status; (2) to describe the association between health risk behaviors and health status; and (3) to describe the relative contribution of health risk behaviors and academic achievement to adolescent health status among this sample of Hispanic adolescents. ^ The survey instrument was a 32-item questionnaire that incorporated: several academic achievement questions measuring usual grades, school-related performance, attendance, student and perceived parental satisfaction with academic achievement, and educational aspirations; two health and quality of life scales measuring adolescent self-reported health; and specific measures of health risk behavior, e.g., frequency of tobacco cigarette smoking, alcohol and other drug use, aggression, and suicidal ideation and behavior that were incorporated from the national Youth Risk Behavior Survey. Questions pertaining to sexual behavior and pregnancy were omitted to comply with school district guidelines. ^ Analysis revealed that strong associations between academic achievement and health status and between health risk behaviors and health status were observed after controlling for the covariates. Eight factors were found to be significantly associated with poor health status: usual grades (low), academic performance (low), academic achievement beliefs (low), classroom and homework performance satisfaction (low), ever drinking alcohol (6 or more times), suicidality (ever thought about, planned for, or sought medical help after attempting suicide), gender (female), and age (15 years and older). (Abstract shortened by UMI.) ^